Pb(II) and Oil Contamination Analysis of Belawan Sea, Medan City, North Sumatera

Belawan waters are very densely populated with shipping, industrial and settlement. These various activities have an impact in the form of sea pollution by liquid waste such as Pb (II) and oil. Based on the results of the analysis of the content of Pb (II) in the highest waters, which is equal to 26.9120 ppm, it exceeds the threshold. The oil content in the waters has exceeded the threshold of 0.05 gr / L. One way to reduce the levels of Pb (II) and oil is by using coconut husk biosorbent. This is evidenced by the results of the analysis that there was a decrease in Pb (II) metal content after adsorption using coconut coir biosorbent which was equal to 6.2430ppm with adsorption capability of 20,699 ppm. The oil content in the water after the water is adsorbed using coconut coir biosorbent shows the Not Applicable result because the seawater sample has been homogenized so that no significant changes occur. This shows that coconut coir biosorbent is effective to reduce the content of Pb and Oil in water in the waters of the sea

Synthesis of Fe and Zn Organic Fertilizer From Palm Oil Waste

Indonesia has been placed as the world's first producer of crude palm oil and crude palm oil. In producing crude palm oil (CPO) and palm kernel oil (PKO), the palm oil industry relies heavily on processing fresh fruit bunches (FFB) at palm oil mills (POM) and is traded Internationally. However, this process also produces solid organic waste [ i.e. empty bunches (EFB)], which reach up to 25 %% of FFB. The analysis shows that the application of empty bunches as organic fertilizer has not been able to increase the amount of nutrients in palm oil leaves and increase palm oil production. Application of palm oil mill effluent which is able to increase the amount of nutrients in palm oil, especially nitrogen and phosphate, and a positive impact to increase the production of oil palm plantations, especially on productivity (tons / ha)

High Level B-ISDN/ATM Traffic Management in Real Time

We study real time traffic management in the perspective of a four-level model of traffic variations: cells, bursts, sessions, and links. Our interest is focused on the two latter levels: Using virtual channels (VCs) and virtual paths (VPs) as the managed entities on the two levels respectively, we put forward a simple and robust strategy for traffic management in real time: All nodes simultaneously monitor offered traffics and forward the result to a network management centre (NMC); The NMC computes a new set of optimal VPs and compares the result to the existing network; If a change appears profitable, the necessary information is sent back to the nodes and the new design is implemented. Applying our strategy to control general networks subject to traffics which in advance are known only as expectations, we develop simple methods for traffic observation, the optimal observation interval, a fast and efficient algorithm to compute VP networks, a test to determine whether to implement a new design in which costs related to lost traffic are compared to processing costs, and the optimal updating interval. Running our strategy in a simulator, we discover a considerable adaptivity, large savings in transmission capacity, and a performance far better than achieved by fixed redesign according to forecasts. Finally we discuss limits to the range of variations within which our strategy can be applied. The present work applies both to networks using SDH/SONET and/or networks based on ATM, i.e. both to present public switched telephony networks and broadband inte- grated services digital networks, and is a summary and extension of earlier works within this area [3{9]